import unittest
import cv2
from ultralytics import YOLO

# Load the YOLOv8 model
model = YOLO('yolov8n.pt')

# Open the video file
video_path = "path/to/your/video/file.mp4"
cap = cv2.VideoCapture(video_path)

class MyTestCase(unittest.TestCase):
    def test_something(self):
        self.assertEqual(True, False)  # add assertion here

    while cap.isOpened():
        # Read a frame from the video
        success, frame = cap.read()

        if success:
            # Run YOLOv8 inference on the frame
            results = model(frame)

            # Visualize the results on the frame
            annotated_frame = results[0].plot()

            # Display the annotated frame
            cv2.imshow("YOLOv8 Inference", annotated_frame)

if __name__ == '__main__':
    unittest.main()
